code: def RandomNormalInitializer(stddev=1e-2):
      """Returns an initializer for random normal coefficients."""
      return lambda shape, rng: (
          stddev
          * random.normal(  # pylint: disable=g-long-lambda
              rng, _PureShape(shape)
          ).astype("float32")
      )
  
file_path: trax/trax/layers/initializers.py
imports: from absl import logging
  import numpy
  import tensorflow.compat.v2
  from trax.fastmath import numpy
  from trax.fastmath import random
label_desc: Use image node_id 4 for calling a global function with example usage: RandomNormalInitializer(stddev) and returns: function